% alzhub.org library filter
% Source: https://alzhub.org/research?category=digital&atag=machine
% 99 entries, in the order the page lists them. Built from alzhub.org's own records.
% 0 entries have no readable author in the source record and carry no author field.

@article{elsappagh2021-33514817,
  author  = {El-Sappagh, S. and Alonso, J. M. and Islam, S. M. R. and Sultan, A. M. and Kwak, K. S.},
  title   = {{A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease}},
  journal = {Scientific reports},
  year    = {2021},
  doi     = {10.1038/s41598-021-82098-3},
  pmid    = {33514817},
  url     = {https://doi.org/10.1038/s41598-021-82098-3}
}

@article{borchert2023-37563912,
  author  = {Borchert, R. J. and Azevedo, T. and Badhwar, A. and Bernal, J. and Betts, M. and Bruffaerts, R. and Burkhart, M. C. and Dewachter, I. and others},
  title   = {{Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2023},
  doi     = {10.1002/alz.13412},
  pmid    = {37563912},
  url     = {https://doi.org/10.1002/alz.13412}
}

@article{younan2020-31746986,
  author  = {Younan, D. and Petkus, A. J. and Widaman, K. F. and Wang, X. and Casanova, R. and Espeland, M. A. and Gatz, M. and Henderson, V. W. and others},
  title   = {{Particulate matter and episodic memory decline mediated by early neuroanatomic biomarkers of Alzheimer's disease}},
  journal = {Brain : a journal of neurology},
  year    = {2020},
  doi     = {10.1093/brain/awz348},
  pmid    = {31746986},
  url     = {https://doi.org/10.1093/brain/awz348}
}

@article{ahmed2013-24142144,
  author  = {Ahmed, S. and Haigh, A. M. and de Jager, C. A. and Garrard, P.},
  title   = {{Connected speech as a marker of disease progression in autopsy-proven Alzheimer's disease}},
  journal = {Brain : a journal of neurology},
  year    = {2013},
  doi     = {10.1093/brain/awt269},
  pmid    = {24142144},
  url     = {https://doi.org/10.1093/brain/awt269}
}

@article{garcia2022-35914945,
  author  = {García, A. M. and Welch, A. E. and Mandelli, M. L. and Henry, M. L. and Lukic, S. and Torres Prioris, M. J. and Deleon, J. and Ratnasiri, B. M. and others},
  title   = {{Automated Detection of Speech Timing Alterations in Autopsy-Confirmed Nonfluent/Agrammatic Variant Primary Progressive Aphasia}},
  journal = {Neurology},
  year    = {2022},
  doi     = {10.1212/wnl.0000000000200750},
  pmid    = {35914945},
  url     = {https://doi.org/10.1212/wnl.0000000000200750}
}

@article{govindarajan2025-40108173,
  author  = {Govindarajan, Sindhuja Tirumalai and Mamourian, Elizabeth and Erus, Güray and Abdulkadir, Ahmed and Melhem, Randa and Doshi, Jimit J. and Pomponio, Raymond and Tosun, Duygu and others},
  title   = {{Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals}},
  journal = {Nature Communications},
  year    = {2025},
  doi     = {10.1038/s41467-025-57867-7},
  pmid    = {40108173},
  url     = {https://doi.org/10.1038/s41467-025-57867-7}
}

@article{wang2020-32962744,
  author  = {Wang, X. and Huang, W. and Su, L. and Xing, Y. and Jessen, F. and Sun, Y. and Shu, N. and Han, Y.},
  title   = {{Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease}},
  journal = {Molecular neurodegeneration},
  year    = {2020},
  doi     = {10.1186/s13024-020-00395-3},
  pmid    = {32962744},
  url     = {https://doi.org/10.1186/s13024-020-00395-3}
}

@article{frizzell2022-35358720,
  author  = {Frizzell, T. O. and Glashutter, M. and Liu, C. C. and Zeng, A. and Pan, D. and Hajra, S. G. and D'Arcy, R. C. N. and Song, X.},
  title   = {{Artificial intelligence in brain MRI analysis of Alzheimer's disease over the past 12 years: A systematic review}},
  journal = {Ageing research reviews},
  year    = {2022},
  doi     = {10.1016/j.arr.2022.101614},
  pmid    = {35358720},
  url     = {https://doi.org/10.1016/j.arr.2022.101614}
}

@article{lee2018-29515131,
  author  = {Lee, J. S. and Kim, C. and Shin, J. H. and Cho, H. and Shin, D. S. and Kim, N. and Kim, H. J. and Kim, Y. and others},
  title   = {{Machine Learning-based Individual Assessment of Cortical Atrophy Pattern in Alzheimer's Disease Spectrum: Development of the Classifier and Longitudinal Evaluation}},
  journal = {Scientific reports},
  year    = {2018},
  doi     = {10.1038/s41598-018-22277-x},
  pmid    = {29515131},
  url     = {https://doi.org/10.1038/s41598-018-22277-x}
}

@article{vonk2025-40209131,
  author  = {Vonk, Jet M. J. and Morin, Brittany T. and Pillai, Janhavi and Rolon, David Rosado and Bogley, Rian and Baquirin, David Paul and Ezzes, Zoe and Tee, Boon Lead and others},
  title   = {{Automated Speech Analysis to Differentiate Frontal and Right Anterior Temporal Lobe Atrophy in Frontotemporal Dementia}},
  journal = {Neurology},
  year    = {2025},
  doi     = {10.1212/wnl.0000000000213556},
  pmid    = {40209131},
  url     = {https://doi.org/10.1212/wnl.0000000000213556}
}

@article{vogel2018-29688388,
  author  = {Vogel, J. W. and Vachon-Presseau, E. and Pichet Binette, A. and Tam, A. and Orban, P. and La Joie, R. and Savard, M. and Picard, C. and others},
  title   = {{Brain properties predict proximity to symptom onset in sporadic Alzheimer's disease}},
  journal = {Brain : a journal of neurology},
  year    = {2018},
  doi     = {10.1093/brain/awy093},
  pmid    = {29688388},
  url     = {https://doi.org/10.1093/brain/awy093}
}

@article{stamate2019-31890857,
  author  = {Stamate, D. and Kim, M. and Proitsi, P. and Westwood, S. and Baird, A. and Nevado-Holgado, A. and Hye, A. and Bos, I. and others},
  title   = {{A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort}},
  journal = {Alzheimer's \& dementia (New York, N. Y.)},
  year    = {2019},
  doi     = {10.1016/j.trci.2019.11.001},
  pmid    = {31890857},
  url     = {https://doi.org/10.1016/j.trci.2019.11.001}
}

@article{xu2020-33083543,
  author  = {Xu, J. and Wang, F. and Xu, Z. and Adekkanattu, P. and Brandt, P. and Jiang, G. and Kiefer, R. C. and Luo, Y. and others},
  title   = {{Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records}},
  journal = {Learning health systems},
  year    = {2020},
  doi     = {10.1002/lrh2.10246},
  pmid    = {33083543},
  url     = {https://doi.org/10.1002/lrh2.10246}
}

@article{olazaran2015-26483681,
  author  = {Olazarán, J. and Valentí, M. and Frades, B. and Zea-Sevilla, M. A. and Ávila-Villanueva, M. and MÁ, Fernández-Blázquez and Calero, M. and Dobato, J. L. and others},
  title   = {{The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer's Disease}},
  journal = {Frontiers in aging neuroscience},
  year    = {2015},
  doi     = {10.3389/fnagi.2015.00181},
  pmid    = {26483681},
  url     = {https://doi.org/10.3389/fnagi.2015.00181}
}

@article{barnard2025-40577677,
  author  = {Barnard, Leland and Botha, Hugo and Corriveau‐Lecavalier, Nick and Graff‐Radford, Jonathan and Dicks, Ellen and Gogineni, Venkatsampath and Zhang, Gemeng and Burkett, Brian J. and others},
  title   = {{An FDG-PET–Based Machine Learning Framework to Support Neurologic Decision-Making in Alzheimer Disease and Related Disorders}},
  journal = {Neurology},
  year    = {2025},
  doi     = {10.1212/wnl.0000000000213831},
  pmid    = {40577677},
  url     = {https://doi.org/10.1212/wnl.0000000000213831}
}

@article{diogo2022-35922851,
  author  = {Diogo, V. S. and Ferreira, H. A. and Prata, D. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Early diagnosis of Alzheimer's disease using machine learning: a multi-diagnostic, generalizable approach}},
  journal = {Alzheimer's research \& therapy},
  year    = {2022},
  doi     = {10.1186/s13195-022-01047-y},
  pmid    = {35922851},
  url     = {https://doi.org/10.1186/s13195-022-01047-y}
}

@article{kim2019-30981204,
  author  = {Kim, J. P. and Kim, J. and Park, Y. H. and Park, S. B. and Lee, J. S. and Yoo, S. and Kim, E. J. and Kim, H. J. and others},
  title   = {{Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease}},
  journal = {NeuroImage. Clinical},
  year    = {2019},
  doi     = {10.1016/j.nicl.2019.101811},
  pmid    = {30981204},
  url     = {https://doi.org/10.1016/j.nicl.2019.101811}
}

@article{gupta2019-31680923,
  author  = {Gupta, Y. and Lama, R. K. and Kwon, G. R. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers}},
  journal = {Frontiers in computational neuroscience},
  year    = {2019},
  doi     = {10.3389/fncom.2019.00072},
  pmid    = {31680923},
  url     = {https://doi.org/10.3389/fncom.2019.00072}
}

@article{oxtoby2017-28520598,
  author  = {Oxtoby, N. P. and Alexander, D. C. and {EuroPOND consortium}},
  title   = {{Imaging plus X: multimodal models of neurodegenerative disease}},
  journal = {Current opinion in neurology},
  year    = {2017},
  doi     = {10.1097/wco.0000000000000460},
  pmid    = {28520598},
  url     = {https://doi.org/10.1097/wco.0000000000000460}
}

@article{bayat2021-34127064,
  author  = {Bayat, S. and Babulal, G. M. and Schindler, S. E. and Fagan, A. M. and Morris, J. C. and Mihailidis, A. and Roe, C. M.},
  title   = {{GPS driving: a digital biomarker for preclinical Alzheimer disease}},
  journal = {Alzheimer's research \& therapy},
  year    = {2021},
  doi     = {10.1186/s13195-021-00852-1},
  pmid    = {34127064},
  url     = {https://doi.org/10.1186/s13195-021-00852-1}
}

@article{jin2020-32714766,
  author  = {Jin, D. and Zhou, B. and Han, Y. and Ren, J. and Han, T. and Liu, B. and Lu, J. and Song, C. and others},
  title   = {{Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease}},
  journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
  year    = {2020},
  doi     = {10.1002/advs.202000675},
  pmid    = {32714766},
  url     = {https://doi.org/10.1002/advs.202000675}
}

@article{sorbyadams2024-39622805,
  author  = {Sorby-Adams, A. J. and Guo, J. and Laso, P. and Kirsch, J. E. and Zabinska, J. and Garcia Guarniz, A. L. and Schaefer, P. W. and Payabvash, S. and others},
  title   = {{Portable, low-field magnetic resonance imaging for evaluation of Alzheimer's disease}},
  journal = {Nature communications},
  year    = {2024},
  doi     = {10.1038/s41467-024-54972-x},
  pmid    = {39622805},
  url     = {https://doi.org/10.1038/s41467-024-54972-x}
}

@article{tzimourta2021-33588710,
  author  = {Tzimourta, K. D. and Christou, V. and Tzallas, A. T. and Giannakeas, N. and Astrakas, L. G. and Angelidis, P. and Tsalikakis, D. and Tsipouras, M. G.},
  title   = {{Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review}},
  journal = {International journal of neural systems},
  year    = {2021},
  doi     = {10.1142/s0129065721300023},
  pmid    = {33588710},
  url     = {https://doi.org/10.1142/s0129065721300023}
}

@article{jain2025-41213043,
  author  = {Jain, Sneha S. and Sun, Tony and Pierson, Emma and Oliver, Francisco Roedan and Malta, Paloma P and Castillo, Michelle and Wan, Ningxin and Alishetti, Shudhanshu and others},
  title   = {{Detecting Transthyretin Cardiac Amyloidosis With Artificial Intelligence}},
  journal = {JAMA Cardiology},
  year    = {2025},
  doi     = {10.1001/jamacardio.2025.4591},
  pmid    = {41213043},
  url     = {https://doi.org/10.1001/jamacardio.2025.4591}
}

@article{muller2019-30837580,
  author  = {Müller, S. and Herde, L. and Preische, O. and Zeller, A. and Heymann, P. and Robens, S. and Elbing, U. and Laske, C.},
  title   = {{Diagnostic value of digital clock drawing test in comparison with CERAD neuropsychological battery total score for discrimination of patients in the early course of Alzheimer's disease from healthy individuals}},
  journal = {Scientific reports},
  year    = {2019},
  doi     = {10.1038/s41598-019-40010-0},
  pmid    = {30837580},
  url     = {https://doi.org/10.1038/s41598-019-40010-0}
}

@article{gao2023-35668045,
  author  = {Gao, F. and Lv, X. and Dai, L. and Wang, Q. and Wang, P. and Cheng, Z. and Xie, Q. and Ni, M. and others},
  title   = {{A combination model of AD biomarkers revealed by machine learning precisely predicts Alzheimer's dementia: China Aging and Neurodegenerative Initiative (CANDI) study}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2023},
  doi     = {10.1002/alz.12700},
  pmid    = {35668045},
  url     = {https://doi.org/10.1002/alz.12700}
}

@article{berron2024-38867417,
  author  = {Berron, D. and Olsson, E. and Andersson, F. and Janelidze, S. and Tideman, P. and Düzel, E. and Palmqvist, S. and Stomrud, E. and others},
  title   = {{Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2024},
  doi     = {10.1002/alz.13919},
  pmid    = {38867417},
  url     = {https://doi.org/10.1002/alz.13919}
}

@article{ran2026-41717239,
  author  = {Ran, An Ran and Hu, Xiaoyan and Hui, Herbert Y.H. and Dai, Jiajia and Chan, Victor T.T. and Ho, Ko and Au, Lisa WC and Ng, Chak Fung and others},
  title   = {{An Ensemble Learning Artificial Intelligence Model for Alzheimer's Disease Detection Using OCT}},
  journal = {Ophthalmology Science},
  year    = {2026},
  doi     = {10.1016/j.xops.2026.101066},
  pmid    = {41717239},
  url     = {https://doi.org/10.1016/j.xops.2026.101066}
}

@article{dyrba2013-23741425,
  author  = {Dyrba, M. and Ewers, M. and Wegrzyn, M. and Kilimann, I. and Plant, C. and Oswald, A. and Meindl, T. and Pievani, M. and others},
  title   = {{Robust automated detection of microstructural white matter degeneration in Alzheimer's disease using machine learning classification of multicenter DTI data}},
  journal = {PloS one},
  year    = {2013},
  doi     = {10.1371/journal.pone.0064925},
  pmid    = {23741425},
  url     = {https://doi.org/10.1371/journal.pone.0064925}
}

@article{pellegrini2018-30364671,
  author  = {Pellegrini, E. and Ballerini, L. and Hernandez, M. D. C. V. and Chappell, F. M. and González-Castro, V. and Anblagan, D. and Danso, S. and Muñoz-Maniega, S. and others},
  title   = {{Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review}},
  journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
  year    = {2018},
  doi     = {10.1016/j.dadm.2018.07.004},
  pmid    = {30364671},
  url     = {https://doi.org/10.1016/j.dadm.2018.07.004}
}

@article{liu2018-29352978,
  author  = {Liu, X. and Chen, K. and Wu, T. and Weidman, D. and Lure, F. and Li, J.},
  title   = {{Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease}},
  journal = {Translational research : the journal of laboratory and clinical medicine},
  year    = {2018},
  doi     = {10.1016/j.trsl.2018.01.001},
  pmid    = {29352978},
  url     = {https://doi.org/10.1016/j.trsl.2018.01.001}
}

@article{grassi2019-31379711,
  author  = {Grassi, M. and Rouleaux, N. and Caldirola, D. and Loewenstein, D. and Schruers, K. and Perna, G. and Dumontier, M. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures}},
  journal = {Frontiers in neurology},
  year    = {2019},
  doi     = {10.3389/fneur.2019.00756},
  pmid    = {31379711},
  url     = {https://doi.org/10.3389/fneur.2019.00756}
}

@article{tian2021-33420208,
  author  = {Tian, J. and Smith, G. and Guo, H. and Liu, B. and Pan, Z. and Wang, Z. and Xiong, S. and Fang, R.},
  title   = {{Modular machine learning for Alzheimer's disease classification from retinal vasculature}},
  journal = {Scientific reports},
  year    = {2021},
  doi     = {10.1038/s41598-020-80312-2},
  pmid    = {33420208},
  url     = {https://doi.org/10.1038/s41598-020-80312-2}
}

@article{folego2020-33195111,
  author  = {Folego, G. and Weiler, M. and Casseb, R. F. and Pires, R. and Rocha, A.},
  title   = {{Alzheimer's Disease Detection Through Whole-Brain 3D-CNN MRI}},
  journal = {Frontiers in bioengineering and biotechnology},
  year    = {2020},
  doi     = {10.3389/fbioe.2020.534592},
  pmid    = {33195111},
  url     = {https://doi.org/10.3389/fbioe.2020.534592}
}

@article{alsaeed2022-35458896,
  author  = {AlSaeed, D. and Omar, S. F.},
  title   = {{Brain MRI Analysis for Alzheimer's Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning}},
  journal = {Sensors (Basel, Switzerland)},
  year    = {2022},
  doi     = {10.3390/s22082911},
  pmid    = {35458896},
  url     = {https://doi.org/10.3390/s22082911}
}

@article{fulton2019-31443556,
  author  = {Fulton, L. V. and Dolezel, D. and Harrop, J. and Yan, Y. and Fulton, C. P.},
  title   = {{Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50}},
  journal = {Brain sciences},
  year    = {2019},
  doi     = {10.3390/brainsci9090212},
  pmid    = {31443556},
  url     = {https://doi.org/10.3390/brainsci9090212}
}

@article{khalfallah2025-290cd850,
  author  = {Khalfallah, Souhaila and Puech, William and Tlija, Mehdi and Bouallegue, Kais},
  title   = {{Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders}},
  journal = {IEEE Access},
  year    = {2025},
  doi     = {10.1109/access.2025.3532515},
  url     = {https://doi.org/10.1109/access.2025.3532515}
}

@article{gramkow2025-40399918,
  author  = {Gramkow, Mathias Holsey and Brink-Kjær, Andreas and Clemmensen, Frederikke Kragh and Sjælland, Nikolai Sulkjær and Waldemar, Gunhild and Jennum, Poul and Hasselbalch, Steen Gregers and Frederiksen, Kristian Steen},
  title   = {{Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study}},
  journal = {Alzheimer s Research \& Therapy},
  year    = {2025},
  doi     = {10.1186/s13195-025-01751-5},
  pmid    = {40399918},
  url     = {https://doi.org/10.1186/s13195-025-01751-5}
}

@article{mieling2025-40285975,
  author  = {Mieling, Marthe and Yousuf, Mushfa and Bunzeck, Nico and {Alzheimer’s Disease Neuroimaging Initiative} and Weiner, Michael and Aisen, Paul and Petersen, Ronald and Jack, Clifford R. and others},
  title   = {{Predicting the progression of MCI and Alzheimer’s disease on structural brain integrity and other features with machine learning}},
  journal = {GeroScience},
  year    = {2025},
  doi     = {10.1007/s11357-025-01626-5},
  pmid    = {40285975},
  url     = {https://doi.org/10.1007/s11357-025-01626-5}
}

@article{miltiadous2021-34441371,
  author  = {Miltiadous, A. and Tzimourta, K. D. and Giannakeas, N. and Tsipouras, M. G. and Afrantou, T. and Ioannidis, P. and Tzallas, A. T.},
  title   = {{Alzheimer's Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods}},
  journal = {Diagnostics (Basel, Switzerland)},
  year    = {2021},
  doi     = {10.3390/diagnostics11081437},
  pmid    = {34441371},
  url     = {https://doi.org/10.3390/diagnostics11081437}
}

@article{tenkate2018-30261928,
  author  = {Ten Kate, M. and Redolfi, A. and Peira, E. and Bos, I. and Vos, S. J. and Vandenberghe, R. and Gabel, S. and Schaeverbeke, J. and others},
  title   = {{MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study}},
  journal = {Alzheimer's research \& therapy},
  year    = {2018},
  doi     = {10.1186/s13195-018-0428-1},
  pmid    = {30261928},
  url     = {https://doi.org/10.1186/s13195-018-0428-1}
}

@article{matsuda2025-40406128,
  author  = {Matsuda, Kazuki Mitsuru and Umeda‐Kameyama, Yumi and Iwadoh, Kazuhiro and Miyawaki, Masashi and Yakabe, Mitsutaka and Ishii, Masaki and Ogawa, Sumito and Akishita, Masahiro and others},
  title   = {{Artificial intelligence and omics-based autoantibody profiling in dementia}},
  journal = {Frontiers in Immunology},
  year    = {2025},
  doi     = {10.3389/fimmu.2025.1537659},
  pmid    = {40406128},
  url     = {https://doi.org/10.3389/fimmu.2025.1537659}
}

@article{hasan2025-40634226,
  author  = {Hasan, Zain and Shum, Leia C and Faruk, Tamim and McGilton, Katherine S. and Chu, Charlene H. and McArthur, Caitlin and Flint, Alastair J. and Mihailidis, Alex and others},
  title   = {{Machine Learning to Detect Motor Agitation in People With Dementia Using Real-Time Location Data}},
  journal = {American Journal of Geriatric Psychiatry},
  year    = {2025},
  doi     = {10.1016/j.jagp.2025.06.001},
  pmid    = {40634226},
  url     = {https://doi.org/10.1016/j.jagp.2025.06.001}
}

@article{martinezthompson2025-39820267,
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@article{pablo2025-0d3ba250,
  author  = {Pablo, Víctor Gutiérrez-de and Herrero-Tudela, María and Sandonís-Fernández, Marina and Poza, Jesús and Maturana-Candelas, Aarón and Rodríguez-González, Víctor and Tola-Arribas, Miguel Ángel and Cano, Mónica and others},
  title   = {{Integrative and interpretable framework to unveil the neurophysiological fingerprint of Alzheimer’s disease and mild cognitive impairment: A machine learning-SHAP approach}},
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  year    = {2025},
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@article{iyer2026-41751343,
  author  = {Iyer, Meghna R. and Zhao, Benjamin and He, Xin and Camacho, David and Wei, Zihan and Deng, Jennifer H. and Mitchell, Cassie S.},
  title   = {{An Artificial Intelligence-Driven Multimorbidity Framework Reveals a Shared Metabolic and Immune Core Across Alzheimer’s Disease, Amyotrophic Lateral Sclerosis, and Frontotemporal Dementia}},
  journal = {Biomedicines},
  year    = {2026},
  doi     = {10.3390/biomedicines14020444},
  pmid    = {41751343},
  url     = {https://doi.org/10.3390/biomedicines14020444}
}

@article{bono2025-41445391,
  author  = {Bono, Marta and Liu, Zhen and Van Helleputte, Nick and De Vos, Maarten and Van Den Bossche, Maarten J. A.},
  title   = {{Multimodal sensing and machine learning for continuous monitoring of agitation in dementia}},
  journal = {Alzheimer s \& Dementia},
  year    = {2025},
  doi     = {10.1002/alz70857_101188},
  pmid    = {41445391},
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}

@article{mukesha2025-41433352,
  author  = {Mukesha, Dany and Sarter, Maité and Dubray, Mélitine and Durand, Floris and Kul, Seval and Pham-Van, Lucas Dinh and Boutillier, Stéphanie and Sacco, Guillaume and others},
  title   = {{Metabolomic Signatures and Machine Learning Models for Distinguishing Alzheimer's Disease and Dementia with Lewy Bodies}},
  journal = {Alzheimer s \& Dementia},
  year    = {2025},
  doi     = {10.1002/alz70863_110610},
  pmid    = {41433352},
  url     = {https://doi.org/10.1002/alz70863_110610}
}

@article{sarma2025-39857095,
  author  = {Sarma, Manash and Chatterjee, Subarna},
  title   = {{Machine Learning-Based Alzheimer’s Disease Stage Diagnosis Utilizing Blood Gene Expression and Clinical Data: A Comparative Investigation}},
  journal = {Diagnostics},
  year    = {2025},
  doi     = {10.3390/diagnostics15020211},
  pmid    = {39857095},
  url     = {https://doi.org/10.3390/diagnostics15020211}
}

@article{miltiadous2026-42165009,
  author  = {Miltiadous, Andreas and Ntetska, Aimilia and Aspiotis, Vasileios and Moustakli, Efthalia and Tsipouras, Markos G. and Tzallas, Alexandros T. and Γιαννακέας, Νικόλαος and Glavas, Euripidis and others},
  title   = {{The AHEPA EEG benchmark: setting the standard for machine learning in dementia diagnosis, a scoping review}},
  journal = {Cognitive Neurodynamics},
  year    = {2026},
  doi     = {10.1007/s11571-026-10464-w},
  pmid    = {42165009},
  url     = {https://doi.org/10.1007/s11571-026-10464-w}
}

@article{li2025-40993122,
  author  = {Li, Jiahang and Brenner, Martin B. and Pierides, Iro and Wessner, Barbara and Franzke, B. and Strasser, Eva-Maria and Waldherr, Steffen and Wagner, Karl‐Heinz and others},
  title   = {{Machine learning and data-driven inverse modeling of metabolomics unveil key processes of active aging}},
  journal = {npj Systems Biology and Applications},
  year    = {2025},
  doi     = {10.1038/s41540-025-00580-4},
  pmid    = {40993122},
  url     = {https://doi.org/10.1038/s41540-025-00580-4}
}

@article{sarma2025-e06d316e,
  author  = {Sarma, Manash and Chatterjee, Subarna},
  title   = {{‘Machine Learning’ multiclassification for stage diagnosis of Alzheimer’s disease utilizing augmented blood gene expression and feature fusion}},
  journal = {Discover Applied Sciences},
  year    = {2025},
  doi     = {10.1007/s42452-025-07237-1},
  url     = {https://doi.org/10.1007/s42452-025-07237-1}
}

@article{mekulu2025-41393341,
  author  = {Mekulu, Kevin and Aqlan, Faisal and Yang, Hui Yong},
  title   = {{Agentic artificial intelligence in cognitive screening: A translational roadmap for dementia care}},
  journal = {Journal of Alzheimer s Disease Reports},
  year    = {2025},
  doi     = {10.1177/25424823251407989},
  pmid    = {41393341},
  url     = {https://doi.org/10.1177/25424823251407989}
}

@article{gladstein2025-40276322,
  author  = {Gladstein, Scott and Yang, Liuqing and Wooten, Dustin W. and Huang, Xin and Comley, Robert A. and Guo, Qi Yong and {the Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Machine learning–enhanced screening funnel for clinical trials in Alzheimer's disease}},
  journal = {Alzheimer s \& Dementia Translational Research \& Clinical Interventions},
  year    = {2025},
  doi     = {10.1002/trc2.70084},
  pmid    = {40276322},
  url     = {https://doi.org/10.1002/trc2.70084}
}